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June 2005 No.53  
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Scirus indexes patent data of 13 million patents  
 
 
Elsevier's free science search engine, Scirus has now indexed 13 million patents. Patents indexed in Scirus include those from the United States Patent and Trademark Office (USPTO), the European Patent Office (EPO), the Japanese Patent Office (JPO) and the Patent Cooperation Treaty (PCT) of the World Intellectual Property Organization (WIPO). By making patents available through its index, Scirus has expanded its service to include new and valuable information sources.
The patent index data is obtained via a unique alliance with LexisNexis, a Reed Elsevier company and leader in comprehensive and authoritative legal, news and business information. Patents are loaded in Scirus in close cooperation with LexisNexis, using Scirus' up-to-date technology for indexing scientific information.
 
Scirus' users can search for patents with the same fielded search capabilities as they have grown accustomed to when searching on Scirus. This includes the ability to search the index by title, abstract, author, date and affiliation. Users who require more in-depth patent searches are directed to specialized patent search tools offered through LexisNexis(r).
 
The patents indexed in Scirus have been selected on the criteria of being either scientific in nature or relevant to the scientific community based upon categorization used by patent offices. Every patent search result found on Scirus provides a link to the full text at the appropriate patent office or to EPO's Esp@cenet.
 
 
"Scirus puts great effort into making sure deep Web sources, such as patents, which are not easily found in general search engines, are properly indexed and displayed," said Ammy Vogtlander, General Manager of Scirus. "By making this important information searchable, Scirus remains the most comprehensive search engine for relevant and trustworthy scientific information on the Web."
 
Patent searching, powered by Scirus, has also been added to Scopus Elsevier's recently launched single Abstract and Indexing (A&I) database. 
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